Hi, I am using the FIX fMRI dataset. However I have a question about the time series preprocessing:
Step 6 in fMRIVolume pipeline said that '6. Intensity normalization to mean of 10000 (like in FEAT) and bias field removal. Brain mask based on FreeSurfer segmentation.'. But the mean values are not 10000, e.g. I checked one subject for which the mean ranges from -115 to 27000. So this becomes an issue when deriving the ROI/regional time series, what I did was first convert to z-score for each time series and then calculate the average across time series within the ROI. I came to recognize that this may not be correct. Another idea is to keep all original data and do the average within the ROIs. However, if one ROI is very big, then the large difference of the baselines (the mean values) of different voxels may make this choice not valid. I wonder why the the mean value is not actually 10000 and what is the correct way to derive the ROI time series. Thanks very much, Best, Chao _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
